The info behind the win: How Catapult and AWS IoT are reworking professional sports activities


In skilled sports activities, the distinction between profitable and dropping usually comes right down to positive margins. Groups throughout the globe are turning to data-driven insights to optimize athlete efficiency, mitigate accidents, and achieve aggressive benefits. Catapult logoCatapult Sports activities, is a sports activities expertise firm that empowers skilled groups to make data-driven selections. Through the use of AWS IoT companies, Catapult is reworking how groups accumulate, analyze, and act on their information.

Catapult powers the data-driven insights that skilled groups must optimize athlete well being, scale back accidents, and excel within the science of human motion. With over 500 workers throughout 24 areas worldwide, Catapult serves greater than 5,000 skilled groups in 40+ sports activities throughout 128 international locations. This contains high franchises within the NFL, NHL, and English Premier League.

The problem: Assembly the calls for of elite sports activities

Skilled sports activities groups function in high-pressure environments. They depend on athlete-monitoring expertise that generates real-time insights throughout video games and practices, offering athletes and coaches with helpful info to enhance efficiency. To efficiently undertake such expertise, groups have basic expectations: on the spot deployment, seamless updates, distant administration throughout world operations, and nil tolerance for system failures or configuration errors throughout crucial moments.

As sports activities analytics turns into more and more refined, groups additionally demand sooner entry to new options, enhanced algorithms, and improved capabilities that may ship aggressive benefits. The problem for sports activities expertise suppliers is delivering enterprise-grade reliability whereas sustaining the agility to innovate quickly.

The answer: Vector 8 powered by AWS IoT

To satisfy these demanding necessities, Catapult developed Vector 8, its next-generation athlete monitoring resolution constructed on AWS IoT companies. The Vector 8 suite consists of 4 predominant parts:

Vector 8 tag Vector 8 Tag: A compact, rugged wearable system that athletes put on throughout coaching and competitors. It provides exact location monitoring indoors and outdoor, captures participant actions and sports-specific occasions, helps integration with third-party Bluetooth sensors, and makes use of ultra-wideband (UWB) communication. Every tag provides as much as six hours of battery life.
Vector 8 dock Vector 8 Dock: Used post-session to recharge tags and synchronize information. The dock allows quick Wi-Fi downloads and information syncing on to the cloud, with a 30-tag capability and parallel importing capabilities that dramatically pace up time-to-data.
Vector 8 receiver Vector 8 Receiver: Connects via Wi-Fi and Ethernet to stream stay information to the cloud for real-time evaluation throughout video games and follow classes. It helps each on-line and offline workflows and supplies real-time diagnostics for efficiency monitoring and troubleshooting.
Vector 8 relay Vector 8 Relay: Extends protection throughout bigger venues with a 400-meter vary, eradicating the necessity for a number of receivers and making scalable deployments environment friendly and cost-effective.

Actual-time efficiency insights

Vector 8 delivers three varieties of information to coaches and sports activities scientists:

  1. Machine well being information – Reside telemetry, together with battery standing and obtained sign power indication (RSSI), plus stay system configuration, reminiscent of firmware variations. Transmitted in real-time, enabling proactive intervention earlier than units fail throughout crucial moments.
  2. Sizzling information – Reside in-game or in-practice information sampled at 10 Hz, together with acceleration, velocity, participant positioning, and coronary heart fee monitoring. Coaches see on the spot visualizations in iOS apps, enabling in-the-moment interventions, reminiscent of substituting fatigued gamers or adjusting techniques primarily based on motion patterns.
  3. Chilly information – Submit-game uncooked inertial information sampled at 100 Hz, used for machine studying (ML) inference to mechanically detect sports-specific actions like jumps, tackles, and throws.

Catapult’s AI-driven analytics can generate 600 distinctive metrics per participant per sport, offering deep insights into athlete efficiency, workload administration, and damage prevention. With the mixing with Catapult’s video evaluation options, coaches can align bodily output information with precise sport footage, reworking how groups analyze and enhance efficiency.

AWS IoT structure

On the coronary heart of Vector 8’s connectivity is AWS IoT Core. AWS IoT Core supplies a scalable and extremely obtainable cloud endpoint for authentication, authorization, encryption in transit, and system administration at scale. The AWS IoT Core guidelines engine serves as the mixing level that routes information from hundreds of units to the suitable AWS companies over our high-bandwidth, low-latency, sturdy community infrastructure.

AWS IoT Greengrass is the muse of the Vector 8 dock and receiver software program structure. AWS IoT Greengrass supplies each an edge runtime and a cloud service that helps Catapult construct, deploy, and handle multi-process IoT purposes at scale. The open-source edge runtime manages Catapult’s customized parts alongside AWS-provided parts, dealing with element versioning, dependency decision, logging, and interprocess communication.

Figure 1: Device health and hot data ingestion with the Catapult Receiver

Determine 1: Machine well being and sizzling information ingestion with the Catapult Receiver

For real-time information streaming, Catapult makes use of Amazon Managed Streaming for Apache Kafka (Amazon MSK) to buffer and course of system well being telemetry and stay athlete efficiency information. Amazon Elastic Container Service (Amazon ECS) runs containerized analytics companies that course of battery ranges, firmware variations, and different diagnostics in actual time. Outcomes are uncovered via Amazon API Gateway and delivered to Catapult’s net interface and cellular apps, the place coaches and gear managers monitor system standing.

Figure 2: Cold data ingestion with the Catapult Dock

Determine 2: Chilly information ingestion with the Catapult Dock

Submit-game information flows to Amazon Easy Storage Service (Amazon S3), the place uncooked 100 Hz inertial information is saved for machine studying inference. A two-hour session with 30 athletes will be uploaded to Amazon S3 in lower than 30 seconds, representing 36 million information factors from a typical NHL sport.

Key advantages and outcomes with AWS IoT

Seamless onboarding expertise

Vector 8 delivers an out-of-the-box expertise that will get groups up and working in minutes. As Mike Lee, Principal Product Supervisor at Catapult, explains:

“With Vector 8, clients merely obtain the Catapult Vector iOS app, unbox the {hardware}, and comply with a guided in-app registration circulate, and that’s it. Their full system linked, configured, and up to date in lower than 10 minutes.”

Groups can begin monitoring athletes inside minutes of receiving their gear via this streamlined self-service onboarding expertise. No technical help or advanced setup is required. The automated course of configures units accurately and runs the most recent firmware instantly.

Quick system updates

Over-the-air (OTA) updates via AWS IoT Greengrass deployments have reworked how Catapult delivers new capabilities to clients. Mike Lee highlights the development:

“One of many largest sport changers with Vector 8 is how we deal with updates. By shifting to automated OTA updates with AWS IoT Greengrass, we’re in a position to replace units as much as 32 occasions sooner than earlier generations, saving clients an enormous period of time and operational problem.”

By shifting to automated updates delivered via AWS IoT Greengrass deployments, Catapult has achieved a degree of fleet-wide consistency that wasn’t potential with earlier generations. Mike Lee emphasizes the importance of this shift:

“Now we have by no means been within the place the place we’ve had virtually your entire wearable system fleet on the most recent firmware. That’s going to assist us keep away from lots of of help tickets.”

This near-universal fleet foreign money implies that all clients profit from the most recent options, efficiency enhancements, and bug fixes mechanically, with no guide intervention required.

Enabling fast innovation

The dependable, high-performance over-the-air replace functionality has essentially modified how Catapult’s firmware workforce operates. Mike Lee describes the transformation:

“For the primary time, we will safely push adjustments to units as quickly as they’re prepared. What used to take months to succeed in clients can now be delivered in weeks, and even days, particularly once we’re iterating on new options or working beta applications.”

This acceleration allows Catapult to iterate shortly on new options primarily based on buyer suggestions, delivering worth sooner and staying forward of the competitors. The shift from months-long launch cycles to weekly and even every day releases represents a basic change in how the corporate innovates.

Proactive system administration and diagnostics

AWS IoT safe tunneling, coupled with the AWS IoT Greengrass safe tunneling element, allows Catapult’s help workforce to offer world-class service. Help engineers can set up SSH classes to docks and receivers on demand, with no buyer involvement past consent. With the AWS IoT Greengrass log supervisor element, system logs mechanically circulate to Amazon CloudWatch in close to real-time, enabling proactive subject identification and backbone earlier than clients discover issues.

This distant entry functionality transforms help operations from reactive troubleshooting to proactive monitoring. Points that beforehand required scheduling buyer appointments and sophisticated file transfers can now be identified and resolved in minutes.

Clever configuration administration

AWS IoT Machine Shadows allow Catapult to handle system configurations from the cloud with out requiring bodily connections. When coaches assign athletes to units or replace efficiency thresholds via Catapult’s cellular app, these configuration adjustments mechanically sync to the cloud and propagate to all registered docks. The following time a tag is positioned in any dock, it receives the most recent configuration, guaranteeing consistency throughout your entire system fleet.

This functionality has eliminated hundreds of guide system staging operations. Alternative units mechanically obtain the right buyer configuration upon the primary connection, enabling true hot-swap performance that retains groups operational even when {hardware} is changed.

Wanting forward

With the muse of cloud connectivity and automatic system administration in place, Catapult is exploring a number of future improvements:

  • Reside information streaming to the cloud – Presently, 10 Hz stay information streams solely to sideline iOS apps. Streaming this information to the cloud would allow extra in-game analytics and allow distant entry for coaches and sports activities scientists.
  • Edge machine studying inference – Most ML inference at present occurs within the cloud post-game. Catapult is investigating shifting extra inference to the sting, on receivers and even tags, to offer extra real-time insights throughout video games and follow classes. The sturdy OTA replace mechanism allows almost steady iteration and enhancement of deployed fashions.
  • AI-powered workforce analytics – Analyzing team-wide tag information to know workforce actions, group dynamics, and tactical patterns utilizing superior AI fashions.
  • Pure language video search – Utilizing AI, like multimodal embedding fashions, to allow pure language search and understanding of video content material. This helps coaches to seek out particular performs or conditions.

Conclusion

Catapult’s Vector 8 platform demonstrates how AWS IoT companies allow sports activities expertise corporations to ship enterprise-grade options with consumer-grade simplicity. By reaching 10-minute onboarding, 32x sooner updates, and 97% of the fleet working the most recent firmware, Catapult has set a brand new customary for athlete monitoring expertise.

These enhancements enable Catapult to maneuver past troubleshooting and towards strategic development. Engineering groups can iterate quickly; their help groups can resolve points extra shortly; and clients can concentrate on what issues most – optimizing athlete efficiency and profitable video games.

As skilled sports activities develop into more and more data-driven, Catapult’s AWS IoT-powered platform positions them to proceed main the transformation of how groups prepare, compete, and succeed.

Study extra

To be taught extra about AWS IoT companies and the way they’ll rework your linked system enterprise, go to aws.amazon.com/iot. To be taught extra about Catapult, go to catapult.com.

To dive deeper into this specific use case, watch the recording “AWS re:Invent 2025 – Peak Efficiency: IoT Innovation in Skilled Sports activities (SPF301)”.


Concerning the authors

Greg Breen

Greg Been

Greg Breen is a Senior IoT Specialist Options Architect at Amazon Internet Companies. Primarily based in Australia, he helps clients all through Asia Pacific to construct their IoT options. With deep expertise in embedded techniques, he has a specific curiosity in helping product improvement groups to carry their units to market.

Mike Garbuz

Mike Garbuz

Mike Garbuz is a Sports activities Options Architect at Amazon Internet Companies. Primarily based in Australia, he helps sports activities clients throughout Australia get essentially the most out of AWS companies. With expertise in Machine Studying and Knowledge and Analytics, he guides these clients to get essentially the most out of their information via using AWS companies.

Farzad Khodadadi

Farzad Khodadadi

Farzad Khodadadi is a Lead Principal Software program Engineer at Catapult with over 15 years of expertise delivering enterprise-scale cloud-native expertise options and shaping long-term engineering technique. Since becoming a member of the corporate, he has offered technical management for the design and supply of Catapult’s IoT platform, transitioning imaginative and prescient into scalable, business-ready capabilities. His management and fervour for IoT has accelerated the adoption of IoT throughout a number of merchandise and groups, enabling new worth streams whereas supporting Catapult’s broader digital and product technique.

Mike Lee

Mike Lee

Mike Lee is a Principal Product Supervisor at Catapult, primarily based in Melbourne, Australia. With over 14 years in sports activities expertise and 5 years working immediately in skilled sport as a Sports activities Scientist, Mike combines deep area data with product management to construct expertise that delivers real-world worth for groups, athletes, and efficiency workers.

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